4 citations · 8 across the 9 of their papers we have counts for
9 papers
Neural Radiance Maps for Extraterrestrial Navigation and Path Planning
Adam Dai, Shubh Gupta, Grace Gao
Autonomous vehicles such as the Mars rovers currently lead the vanguard of surface exploration on extraterrestrial planets and moons. In order to accelerate the pace of exploration…
Neural Elevation Models for Terrain Mapping and Path Planning
Adam Dai, Shubh Gupta, Grace Gao
This work introduces Neural Elevations Models (NEMos), which adapt Neural Radiance Fields to a 2.5D continuous and differentiable terrain model. In contrast to traditional terrain…
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware
Nicholas Meisburger, Vihan Lakshman, Benito Geordie +9
Efficient large-scale neural network training and inference on commodity CPU hardware is of immense practical significance in democratizing deep learning (DL) capabilities. Present…
A Deep Reinforcement Learning Approach to Rare Event Estimation
Anthony Corso, Kyu-Young Kim, Shubh Gupta +2
An important step in the design of autonomous systems is to evaluate the probability that a failure will occur. In safety-critical domains, the failure probability is extremely sma…
Improving GNSS Positioning using Neural Network-based Corrections
Ashwin V. Kanhere, Shubh Gupta, Akshay Shetty +1
Deep Neural Networks (DNNs) are a promising tool for Global Navigation Satellite System (GNSS) positioning in the presence of multipath and non-line-of-sight errors, owing to their…
A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion
Adyasha Mohanty, Shubh Gupta, Grace Xingxin Gao
Adopting a joint approach towards state estimation and integrity monitoring results in unbiased integrity monitoring unlike traditional approaches. So far, a joint approach was use…
Reliable GNSS Localization Against Multiple Faults Using a Particle Filter Framework
Shubh Gupta, Grace X. Gao
For reliable operation on urban roads, navigation using the Global Navigation Satellite System (GNSS) requires both accurately estimating the positioning detail from GNSS pseudoran…
Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization
Shubh Gupta, Grace X. Gao
Reliably assessing the error in an estimated vehicle position is integral for ensuring the vehicle's safety in urban environments. Many existing approaches use GNSS measurements to…
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
Nikita Jaipuria, Shubh Gupta, Praveen Narayanan +1
Generative Adversarial Networks (GANs) are now widely used for photo-realistic image synthesis. In applications where a simulated image needs to be translated into a realistic imag…